High Performance Computing in Chevron

When: Wednesday, October 16, 2019
Where: PGH 563
Time: 11:00 AM

RSVP: https://forms.gle/5vDTbJHroBKkMTTW8

Speaker: Rafael Salas, Chevron

Host: Dr. Panruo Wu

High performance computing (HPC) is the use of advanced computer technologies and techniques to solve specific computational problems in scientific and technical domains with strong focus on maximizing capabilities beyond those of conventional systems. HPC enables Chevron to solve complex engineering and geophysics problems. This presentation will focus on the HPC infrastructure and software that give Chevron these capabilities.

Bio:

Rafael Salas is presently a high performance computing software engineer at Chevron. His main focus is performance optimizations and scalability of geophysics applications on Chevron’s Linux cluster. His current projects involve leveraging multi-node/ multi-GPU hardware through various software stacks to perform oil reservoir modeling simulations. Aside from his traditional HPC projects he also works with leveraging Distributed/Parallel system hardware for deep learning in geoscience workflows.

Rafael’s work history includes full stack web/desktop in various scientific and engineering positions at Chevron and for Texas A&M University. He also served as a nuclear electronics technician for the U.S. Navy. Salas has a Bachelor’s degree from Texas A&M in computer engineering (electrical track) and focused mostly on embedded systems programming.